Code Stars
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Code Stars alerts you to GitHub repos gaining stars rapidly. Stay ahead of the curve and discover trending projects before they go viral! #AI #GitHub #OpenSource #Tech #MachineLearning #Python #Programming #Java #Javascript #React #Docker #Devops
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liguodongiot/llm-action
本项目旨在分享大模型相关技术原理以及实战经验。
Language:Python
Total stars: 3518
Stars trend:
2 Mar 2024
1am ▏ +1
2am +0
3am ▎ +2
4am ▏ +1
5am ▌ +4
6am █▉ +15
7am █▋ +13
8am ▍ +3
9am █▋ +13

#python
#llm, #llminference, #llmserving, #llmtraining, #llmops
databricks/dbrx
Code examples and resources for DBRX, a large language model developed by Databricks
Language:Python
Total stars: 157
Stars trend:
27 Mar 2024
11am ▋ +5
12pm █▌ +12
1pm ██▍ +19
2pm ███▊ +30
3pm ████▋ +37
4pm ████▎ +34

#python
#databricks, #genai, #generativeai, #llm, #llminference, #llmtraining, #mosaicai
InternLM/xtuner
An efficient, flexible and full-featured toolkit for fine-tuning large models (InternLM, Llama, Baichuan, Qwen, ChatGLM)
Language:Python
Total stars: 1534
Stars trend:
21 Apr 2024
2pm ▏ +1
3pm ▌ +4
4pm █▌ +12
5pm █ +8
6pm ▍ +3
7pm ▌ +4
8pm +0
9pm ▎ +2
10pm ▋ +5
11pm ██▎ +18
22 Apr 2024
12am █▉ +15
1am ███▏ +25

#python
#agent, #baichuan, #chatbot, #chatglm, #chatglm2, #chatglm3, #conversationalai, #internlm, #largelanguagemodels, #llama, #llama2, #llava, #llm, #llmtraining, #mixtral, #msagent, #peft, #qwen, #supervisedfinetuning
ghimiresunil/LLM-PowerHouse-A-Curated-Guide-for-Large-Language-Models-with-Custom-Training-and-Inferencing
LLM-PowerHouse: Unleash LLMs' potential through curated tutorials, best practices, and ready-to-use code for custom training and inferencing.
Language:Jupyter Notebook
Total stars: 370
Stars trend:
12 May 2024
2pm ▍ +3
3pm █▎ +10
4pm ███▋ +29
5pm ██▋ +21
6pm █▎ +10
7pm █▌ +12

#jupyternotebook
#bert, #huggingface, #largelanguagemodels, #llminference, #llmtraining, #llmtutorials, #opensource, #opensourcellm, #transformers
skypilot-org/skypilot
SkyPilot: Run LLMs, AI, and Batch jobs on any cloud. Get maximum savings, highest GPU availability, and managed execution—all with a simple interface.
Language:Python
Total stars: 5888
Stars trend:
3 Jun 2024
5pm ██ +16
6pm █▍ +11
7pm ▊ +6
8pm █▌ +12
9pm █ +8
10pm █▍ +11
11pm ▋ +5
4 Jun 2024
12am ▏ +1
1am ▊ +6

#python
#cloudcomputing, #cloudmanagement, #costmanagement, #costoptimization, #datascience, #deeplearning, #distributedtraining, #finops, #gpu, #hyperparametertuning, #jobqueue, #jobscheduler, #llmserving, #llmtraining, #machinelearning, #mlinfrastructure, #mlplatform, #multicloud, #spotinstances, #tpu
linkedin/Liger-Kernel
Efficient Triton Kernels for LLM Training
Language:Python
Total stars: 2370
Stars trend:
27 Aug 2024
3am ████▍ +35
4am ███▍ +27
5am █████▎ +42
6am ████▋ +37
7am █████▊ +46
8am ███▋ +29
9am ███▉ +31
10am ████▍ +35
11am █▍ +11
12pm █▎ +10
1pm █▊ +14
2pm ▎ +2

#python
#llmtraining, #triton
skypilot-org/skypilot
SkyPilot: Run AI and batch jobs on any infra (Kubernetes or 16+ clouds). Get unified execution, cost savings, and high GPU availability via a simple interface.
Language:Python
Total stars: 7844
Stars trend:
26 Apr 2025
3pm █▍ +11
4pm █ +8
5pm ▍ +3
6pm ▉ +7
7pm ▉ +7
8pm █▍ +11
9pm ▊ +6
10pm ▍ +3
11pm ▍ +3
27 Apr 2025
12am ▎ +2
1am █▏ +9
2am █▍ +11

#python
#cloudcomputing, #cloudmanagement, #costmanagement, #costoptimization, #datascience, #deeplearning, #distributedtraining, #finops, #gpu, #hyperparametertuning, #jobqueue, #jobscheduler, #llmserving, #llmtraining, #machinelearning, #mlinfrastructure, #mlplatform, #multicloud, #spotinstances, #tpu
gitleaks/gitleaks
Find secrets with Gitleaks 🔑
Language:Go
Total stars: 20816
Stars trend:
26 Jun 2025
12pm ▉ +7
1pm ▌ +4
2pm ▌ +4
3pm ▋ +5
4pm ▉ +7
5pm ▋ +5
6pm █▌ +12
7pm ▍ +3
8pm █▋ +13
9pm ▌ +4
10pm ▉ +7
11pm ▉ +7

#go
#aipowered, #cicd, #cicd, #cli, #datalossprevention, #devsecops, #dlp, #git, #gitleaks, #go, #golang, #hacktoberfest, #llm, #llminference, #llmtraining, #opensource, #secret, #security, #securitytools
BenChaliah/Superposition-Transformer
a novel architecture that leverages Autoencoders to superimpose the hidden representations of a base model and a fine-tuned model within a shared parameter space. Using B-spline-based blending coefficients and autoencoders that adaptively reconstruct the original hidden states based on the input data distribution.
Language:Jupyter Notebook
Total stars: 261
Stars trend:
1 Aug 2025
3am ▏ +1
4am ▍ +3
5am ▋ +5
6am █▍ +11
7am ▊ +6
8am ▉ +7
9am ▋ +5
10am █▏ +9
11am █▍ +11
12pm █▏ +9
1pm █▏ +9
2pm ▊ +6

#jupyternotebook
#artificialintelligence, #autoencoders, #deeplearning, #languagemodel, #llm, #llmtraining