flyteorg/flyte
Scalable and flexible workflow orchestration platform that seamlessly unifies data, ML and analytics stacks.
Language:Go
Total stars: 4948
Stars trend:
#go
#data, #dataanalysis, #datascience, #dataops, #declarative, #finetuning, #flyte, #golang, #grpc, #kubernetes, #kubernetesoperator, #llm, #machinelearning, #mlops, #orchestrationengine, #production, #productiongrade, #python, #scale, #workflow
Scalable and flexible workflow orchestration platform that seamlessly unifies data, ML and analytics stacks.
Language:Go
Total stars: 4948
Stars trend:
22 May 2024
5pm ▏ +1
6pm +0
7pm +0
8pm ▏ +1
9pm ▏ +1
10pm +0
11pm +0
23 May 2024
12am █▉ +15
1am ███▏ +25
2am ███▍ +27
3am █▍ +11#go
#data, #dataanalysis, #datascience, #dataops, #declarative, #finetuning, #flyte, #golang, #grpc, #kubernetes, #kubernetesoperator, #llm, #machinelearning, #mlops, #orchestrationengine, #production, #productiongrade, #python, #scale, #workflow
GokuMohandas/Made-With-ML
Learn how to design, develop, deploy and iterate on production-grade ML applications.
Language:Jupyter Notebook
Total stars: 36368
Stars trend:
#jupyternotebook
#dataengineering, #dataquality, #datascience, #deeplearning, #distributedml, #distributedtraining, #llms, #machinelearning, #mlops, #naturallanguageprocessing, #python, #pytorch, #ray
Learn how to design, develop, deploy and iterate on production-grade ML applications.
Language:Jupyter Notebook
Total stars: 36368
Stars trend:
19 Jun 2024
1am ▌ +4
2am ▍ +3
3am ▎ +2
4am ▉ +7
5am ▉ +7
6am ▉ +7
7am █▍ +11
8am █▎ +10
9am ▋ +5
10am ▋ +5
11am █▎ +10
12pm ▊ +6#jupyternotebook
#dataengineering, #dataquality, #datascience, #deeplearning, #distributedml, #distributedtraining, #llms, #machinelearning, #mlops, #naturallanguageprocessing, #python, #pytorch, #ray
argilla-io/argilla
Argilla is a collaboration platform for AI engineers and domain experts that require high-quality outputs, full data ownership, and overall efficiency.
Language:Python
Total stars: 3309
Stars trend:
#python
#activelearning, #ai, #annotationtool, #developertools, #gpt4, #humanintheloop, #langchain, #llm, #machinelearning, #mlops, #naturallanguageprocessing, #nlp, #rlhf, #textannotation, #textlabeling, #weaksupervision, #weaklysupervisedlearning
Argilla is a collaboration platform for AI engineers and domain experts that require high-quality outputs, full data ownership, and overall efficiency.
Language:Python
Total stars: 3309
Stars trend:
19 Jun 2024
11am ▉ +7
12pm █▎ +10
1pm █▌ +12
2pm █ +8
3pm █ +8
4pm █▏ +9
5pm ▌ +4
6pm ▍ +3
7pm █▏ +9
8pm █▍ +11#python
#activelearning, #ai, #annotationtool, #developertools, #gpt4, #humanintheloop, #langchain, #llm, #machinelearning, #mlops, #naturallanguageprocessing, #nlp, #rlhf, #textannotation, #textlabeling, #weaksupervision, #weaklysupervisedlearning
fmind/mlops-python-package
Kickstart your MLOps initiative with a flexible, robust, and productive Python package.
Language:Jupyter Notebook
Total stars: 483
Stars trend:
#jupyternotebook
#automation, #datapipelines, #datascience, #machinelearning, #mlflow, #mlops, #pandera, #pydantic, #python
Kickstart your MLOps initiative with a flexible, robust, and productive Python package.
Language:Jupyter Notebook
Total stars: 483
Stars trend:
4 Jul 2024
6am ▉ +7
7am ████▎ +34
8am ██▎ +18
9am █▎ +10
10am █ +8
11am ▋ +5
12pm ▌ +4
1pm █ +8
2pm ▋ +5#jupyternotebook
#automation, #datapipelines, #datascience, #machinelearning, #mlflow, #mlops, #pandera, #pydantic, #python
decodingml/llm-twin-course
🤖 𝗟𝗲𝗮𝗿𝗻 for 𝗳𝗿𝗲𝗲 how to 𝗯𝘂𝗶𝗹𝗱 an end-to-end 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗿𝗲𝗮𝗱𝘆 𝗟𝗟𝗠 & 𝗥𝗔𝗚 𝘀𝘆𝘀𝘁𝗲𝗺 using 𝗟𝗟𝗠𝗢𝗽𝘀 best practices: ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 11 𝘩𝘢𝘯𝘥𝘴-𝘰𝘯 𝘭𝘦𝘴𝘴𝘰𝘯𝘴
Language:Python
Total stars: 1172
Stars trend:
#python
#aws, #bytewax, #cometml, #course, #docker, #generativeai, #infrastructureascode, #largelanguagemodels, #llmops, #machinelearningengineering, #mlsystemdesign, #mlops, #pulumi, #qdrant, #qwak, #rag, #superlinked
🤖 𝗟𝗲𝗮𝗿𝗻 for 𝗳𝗿𝗲𝗲 how to 𝗯𝘂𝗶𝗹𝗱 an end-to-end 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗿𝗲𝗮𝗱𝘆 𝗟𝗟𝗠 & 𝗥𝗔𝗚 𝘀𝘆𝘀𝘁𝗲𝗺 using 𝗟𝗟𝗠𝗢𝗽𝘀 best practices: ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 11 𝘩𝘢𝘯𝘥𝘴-𝘰𝘯 𝘭𝘦𝘴𝘴𝘰𝘯𝘴
Language:Python
Total stars: 1172
Stars trend:
17 Jul 2024
1am ▏ +1
2am ▏ +1
3am ▏ +1
4am +0
5am ▏ +1
6am +0
7am ▏ +1
8am █▎ +10
9am ██▎ +18
10am ███▊ +30
11am ███▍ +27#python
#aws, #bytewax, #cometml, #course, #docker, #generativeai, #infrastructureascode, #largelanguagemodels, #llmops, #machinelearningengineering, #mlsystemdesign, #mlops, #pulumi, #qdrant, #qwak, #rag, #superlinked
iterative/datachain
DataChain 🔗 Process and curate unstructured data using local ML models and LLM calls
Language:Python
Total stars: 145
Stars trend:
#python
#ai, #cv, #dataanalytics, #datawrangling, #embeddings, #llm, #llmeval, #mlops, #multimodal
DataChain 🔗 Process and curate unstructured data using local ML models and LLM calls
Language:Python
Total stars: 145
Stars trend:
23 Jul 2024
12pm ▏ +1
1pm ██▏ +17
2pm ██▎ +18
3pm █▉ +15
4pm █████████▌ +76#python
#ai, #cv, #dataanalytics, #datawrangling, #embeddings, #llm, #llmeval, #mlops, #multimodal
MLSysOps/MLE-agent
🤖 MLE-Agent: Your intelligent companion for seamless AI engineering and research. 🔍 Integrate with arxiv and paper with code to provide better code/research plans 🧰 OpenAI, Ollama, etc supported. :fireworks: Code RAG
Language:Python
Total stars: 565
Stars trend:
#python
#agent, #ai, #llm, #ml, #mle, #mlops
🤖 MLE-Agent: Your intelligent companion for seamless AI engineering and research. 🔍 Integrate with arxiv and paper with code to provide better code/research plans 🧰 OpenAI, Ollama, etc supported. :fireworks: Code RAG
Language:Python
Total stars: 565
Stars trend:
2 Sep 2024
8am ▎ +2
9am ▎ +2
10am ▎ +2
11am █▊ +14
12pm █▉ +15
1pm ▊ +6
2pm █▌ +12
3pm █ +8
4pm ▌ +4
5pm ▊ +6
6pm ▋ +5#python
#agent, #ai, #llm, #ml, #mle, #mlops
fmind/cookiecutter-mlops-package
Start building and deploying Python packages and Docker images for MLOps tasks.
Language:Python
Total stars: 104
Stars trend:
#python
#bestpractices, #cookiecutter, #mlops, #python, #template
Start building and deploying Python packages and Docker images for MLOps tasks.
Language:Python
Total stars: 104
Stars trend:
22 Sep 2024
10am ▍ +3
11am █▍ +11
12pm █▉ +15
1pm ██ +16
2pm █▉ +15
3pm ▊ +6
4pm ▊ +6
5pm ▌ +4#python
#bestpractices, #cookiecutter, #mlops, #python, #template
HumanSignal/label-studio
Label Studio is a multi-type data labeling and annotation tool with standardized output format
Language:JavaScript
Total stars: 18573
Stars trend:
#javascript
#annotation, #annotationtool, #annotations, #boundingbox, #computervision, #datalabeling, #dataset, #datasets, #deeplearning, #imageannotation, #imageclassification, #imagelabeling, #imagelabellingtool, #labelstudio, #labeling, #labelingtool, #mlops, #semanticsegmentation, #textannotation, #yolo
Label Studio is a multi-type data labeling and annotation tool with standardized output format
Language:JavaScript
Total stars: 18573
Stars trend:
9 Oct 2024
7am ▍ +3
8am ▏ +1
9am ▏ +1
10am ▎ +2
11am ██▍ +19
12pm █ +8
1pm ▊ +6
2pm █▊ +14
3pm █ +8
4pm █▋ +13
5pm ▉ +7#javascript
#annotation, #annotationtool, #annotations, #boundingbox, #computervision, #datalabeling, #dataset, #datasets, #deeplearning, #imageannotation, #imageclassification, #imagelabeling, #imagelabellingtool, #labelstudio, #labeling, #labelingtool, #mlops, #semanticsegmentation, #textannotation, #yolo
PacktPublishing/LLM-Engineers-Handbook
The LLM's practical guide: From the fundamentals to deploying advanced LLM and RAG apps to AWS using LLMOps best practices
Language:Python
Total stars: 165
Stars trend:
#python
#aws, #finetuningllm, #genai, #llm, #llmevaluation, #llmops, #mlsystemdesign, #mlops, #rag
The LLM's practical guide: From the fundamentals to deploying advanced LLM and RAG apps to AWS using LLMOps best practices
Language:Python
Total stars: 165
Stars trend:
20 Oct 2024
9am ██▉ +23
10am ██▍ +19
11am ██▎ +18
12pm █▋ +13
1pm ███▎ +26#python
#aws, #finetuningllm, #genai, #llm, #llmevaluation, #llmops, #mlsystemdesign, #mlops, #rag
PrefectHQ/prefect
Prefect is a workflow orchestration framework for building resilient data pipelines in Python.
Language:Python
Total stars: 16541
Stars trend:
#python
#automation, #data, #dataengineering, #dataops, #datascience, #infrastructure, #mlops, #observability, #orchestration, #pipeline, #prefect, #python, #workflow, #workflowengine
Prefect is a workflow orchestration framework for building resilient data pipelines in Python.
Language:Python
Total stars: 16541
Stars trend:
9 Nov 2024
4am ▎ +2
5am ▏ +1
6am ▍ +3
7am ▏ +1
8am ▎ +2
9am ▏ +1
10am ▍ +3
11am ██▉ +23
12pm ███ +24
1pm ████▍ +35#python
#automation, #data, #dataengineering, #dataops, #datascience, #infrastructure, #mlops, #observability, #orchestration, #pipeline, #prefect, #python, #workflow, #workflowengine
apache/airflow
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Language:Python
Total stars: 37799
Stars trend:
#python
#airflow, #apache, #apacheairflow, #automation, #dag, #dataengineering, #dataintegration, #dataorchestrator, #datapipelines, #datascience, #elt, #etl, #machinelearning, #mlops, #orchestration, #python, #scheduler, #workflow, #workflowengine, #workfloworchestration
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Language:Python
Total stars: 37799
Stars trend:
19 Dec 2024
8pm ▉ +7
9pm ▉ +7
10pm ▋ +5
11pm ▉ +7
20 Dec 2024
12am ▏ +1
1am █▏ +9
2am ▉ +7
3am ▍ +3
4am █▎ +10
5am ▉ +7
6am ▊ +6
7am █▎ +10#python
#airflow, #apache, #apacheairflow, #automation, #dag, #dataengineering, #dataintegration, #dataorchestrator, #datapipelines, #datascience, #elt, #etl, #machinelearning, #mlops, #orchestration, #python, #scheduler, #workflow, #workflowengine, #workfloworchestration
kevmo314/scuda
SCUDA is a GPU over IP bridge allowing GPUs on remote machines to be attached to CPU-only machines.
Language:C++
Total stars: 1118
Stars trend:
#cplusplus
#cublas, #cuda, #cudnn, #gpu, #mlops, #networking, #nvml, #remoteaccess
SCUDA is a GPU over IP bridge allowing GPUs on remote machines to be attached to CPU-only machines.
Language:C++
Total stars: 1118
Stars trend:
13 Jan 2025
12pm █▉ +15
1pm █▎ +10
2pm █ +8
3pm █▎ +10
4pm █▊ +14
5pm ▉ +7
6pm ▍ +3
7pm █▏ +9
8pm ▉ +7
9pm ▌ +4
10pm ▋ +5
11pm ▊ +6#cplusplus
#cublas, #cuda, #cudnn, #gpu, #mlops, #networking, #nvml, #remoteaccess
vllm-project/vllm
A high-throughput and memory-efficient inference and serving engine for LLMs
Language:Python
Total stars: 34142
Stars trend:
#python
#amd, #cuda, #gpt, #hpu, #inference, #inferentia, #llama, #llm, #llmserving, #llmops, #mlops, #modelserving, #pytorch, #rocm, #tpu, #trainium, #transformer, #xpu
A high-throughput and memory-efficient inference and serving engine for LLMs
Language:Python
Total stars: 34142
Stars trend:
20 Jan 2025
8pm ▎ +2
9pm ▎ +2
10pm █▏ +9
11pm ▍ +3
21 Jan 2025
12am ▎ +2
1am █ +8
2am ▉ +7
3am ▉ +7
4am █▌ +12
5am ▊ +6
6am █▎ +10
7am █▍ +11#python
#amd, #cuda, #gpt, #hpu, #inference, #inferentia, #llama, #llm, #llmserving, #llmops, #mlops, #modelserving, #pytorch, #rocm, #tpu, #trainium, #transformer, #xpu
fmind/mlops-python-package
Kickstart your MLOps initiative with a flexible, robust, and productive Python package.
Language:Jupyter Notebook
Total stars: 1036
Stars trend:
#jupyternotebook
#automation, #datapipelines, #datascience, #machinelearning, #mlflow, #mlops, #pandera, #pydantic, #python
Kickstart your MLOps initiative with a flexible, robust, and productive Python package.
Language:Jupyter Notebook
Total stars: 1036
Stars trend:
1 Feb 2025
9am ▎ +2
10am ▍ +3
11am ▎ +2
12pm ▍ +3
1pm █▌ +12
2pm █▎ +10
3pm █▍ +11
4pm █ +8
5pm █▎ +10
6pm ▋ +5
7pm ▊ +6
8pm ▌ +4#jupyternotebook
#automation, #datapipelines, #datascience, #machinelearning, #mlflow, #mlops, #pandera, #pydantic, #python
GetSoloTech/solo-server
Platform for Hardware Aware Inference
Language:Python
Total stars: 136
Stars trend:
#python
#ai, #computervision, #deeplearning, #edgeai, #inference, #llm, #llmops, #machinelearning, #mlops, #modeldeployment, #ondevice, #python3
Platform for Hardware Aware Inference
Language:Python
Total stars: 136
Stars trend:
6 Mar 2025
3am ▏ +1
4am +0
5am ███▊ +30
6am █████▍ +43
7am ▎ +2#python
#ai, #computervision, #deeplearning, #edgeai, #inference, #llm, #llmops, #machinelearning, #mlops, #modeldeployment, #ondevice, #python3
GoogleCloudPlatform/agent-starter-pack
A collection of production-ready Generative AI Agent templates built for Google Cloud. It accelerates development by providing a holistic, production-ready solution, addressing common challenges (Deployment & Operations, Evaluation, Customization, Observability) in building and deploying GenAI agents.
Language:Python
Total stars: 631
Stars trend:
#python
#agents, #gcp, #gemini, #genaiagents, #generativeai, #llmops, #mlops, #observability
A collection of production-ready Generative AI Agent templates built for Google Cloud. It accelerates development by providing a holistic, production-ready solution, addressing common challenges (Deployment & Operations, Evaluation, Customization, Observability) in building and deploying GenAI agents.
Language:Python
Total stars: 631
Stars trend:
3 Apr 2025
12pm ▏ +1
1pm ▏ +1
2pm +0
3pm ▏ +1
4pm +0
5pm +0
6pm ▏ +1
7pm █████▍ +43
8pm ██▋ +21
9pm █▉ +15#python
#agents, #gcp, #gemini, #genaiagents, #generativeai, #llmops, #mlops, #observability
DataTalksClub/mlops-zoomcamp
Free MLOps course from DataTalks.Club
Language:Jupyter Notebook
Total stars: 12241
Stars trend:
#jupyternotebook
#machinelearning, #mlops, #modeldeployment, #modelmonitoring, #workfloworchestration
Free MLOps course from DataTalks.Club
Language:Jupyter Notebook
Total stars: 12241
Stars trend:
5 May 2025
4am ▍ +3
5am +0
6am +0
7am ▏ +1
8am ▏ +1
9am ▎ +2
10am ▍ +3
11am +0
12pm +0
1pm ▏ +1
2pm █▏ +9
3pm █████████████▊ +110#jupyternotebook
#machinelearning, #mlops, #modeldeployment, #modelmonitoring, #workfloworchestration
plexe-ai/plexe
✨ Build a machine learning model from a prompt
Language:Python
Total stars: 1305
Stars trend:
#python
#agenticai, #agents, #machinelearning, #ml, #mlengineering, #mlops, #multiagent, #multiagentsystems
✨ Build a machine learning model from a prompt
Language:Python
Total stars: 1305
Stars trend:
6 May 2025
3pm █▏ +9
4pm ██▉ +23
5pm ██▏ +17
6pm █▊ +14
7pm █▉ +15
8pm ██ +16
9pm ██▍ +19#python
#agenticai, #agents, #machinelearning, #ml, #mlengineering, #mlops, #multiagent, #multiagentsystems
tensorzero/tensorzero
TensorZero creates a feedback loop for optimizing LLM applications — turning production data into smarter, faster, and cheaper models.
Language:Rust
Total stars: 4662
Stars trend:
#rust
#ai, #aiengineering, #anthropic, #artificialintelligence, #deeplearning, #genai, #generativeai, #gpt, #largelanguagemodels, #llama, #llm, #llmops, #llms, #machinelearning, #ml, #mlengineering, #mlops, #openai, #python, #rust
TensorZero creates a feedback loop for optimizing LLM applications — turning production data into smarter, faster, and cheaper models.
Language:Rust
Total stars: 4662
Stars trend:
7 Jun 2025
7am ▋ +5
8am ▉ +7
9am ▌ +4
10am ▉ +7
11am ▍ +3
12pm ▍ +3
1pm █▏ +9
2pm █▏ +9
3pm █▏ +9
4pm █▍ +11
5pm █▏ +9
6pm ▊ +6#rust
#ai, #aiengineering, #anthropic, #artificialintelligence, #deeplearning, #genai, #generativeai, #gpt, #largelanguagemodels, #llama, #llm, #llmops, #llms, #machinelearning, #ml, #mlengineering, #mlops, #openai, #python, #rust