Druvith's Stars
Druvith/Video-query
google-research/tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
naklecha/llama3-from-scratch
llama3 implementation one matrix multiplication at a time
karpathy/llm.c
LLM training in simple, raw C/CUDA
openai/openai-python
The official Python library for the OpenAI API
OpenDevin/OpenDevin
🐚 OpenDevin: Code Less, Make More
mshumer/gpt-author
mshumer/gpt-investor
mshumer/gpt-prompt-engineer
JushBJJ/Mr.-Ranedeer-AI-Tutor
A GPT-4 AI Tutor Prompt for customizable personalized learning experiences.
OpenInterpreter/01
The open-source language model computer
triton-lang/triton
Development repository for the Triton language and compiler
Giskard-AI/giskard
🐢 Open-Source Evaluation & Testing for LLMs and ML models
xai-org/grok-1
Grok open release
RajSolai/TextSnatcher
How to Copy Text from Images ? Answer is TextSnatcher !. Perform OCR operations in seconds on Linux Desktop.
microsoft/DeepSpeed
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
AnswerDotAI/fsdp_qlora
Training LLMs with QLoRA + FSDP
microsoft/semantic-kernel
Integrate cutting-edge LLM technology quickly and easily into your apps
MDK8888/GPTFast
Accelerate your Hugging Face Transformers 7.6-9x. Native to Hugging Face and PyTorch.
OthersideAI/self-operating-computer
A framework to enable multimodal models to operate a computer.
codecrafters-io/build-your-own-x
Master programming by recreating your favorite technologies from scratch.
RoundtableML/ML-Fundamentals-Reading-Lists
SerenityOS/serenity
The Serenity Operating System 🐞
pubmedqa/pubmedqa
PubMedQA: A Dataset for Biomedical Research Question Answering
unslothai/unsloth
Finetune Llama 3.1, Mistral, Phi & Gemma LLMs 2-5x faster with 80% less memory
axolotl-ai-cloud/axolotl
Go ahead and axolotl questions
karpathy/llama2.c
Inference Llama 2 in one file of pure C
oobabooga/text-generation-webui
A Gradio web UI for Large Language Models.
google-research/bert
TensorFlow code and pre-trained models for BERT
d2l-ai/d2l-en
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.