hieuchi911's Stars
labmlai/annotated_deep_learning_paper_implementations
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
scutan90/DeepLearning-500-questions
深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系scutjy2015@163.com 版权所有,违权必究 Tan 2018.06
OpenInterpreter/open-interpreter
A natural language interface for computers
mlabonne/llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
karpathy/nanoGPT
The simplest, fastest repository for training/finetuning medium-sized GPTs.
vllm-project/vllm
A high-throughput and memory-efficient inference and serving engine for LLMs
LadybirdBrowser/ladybird
Truly independent web browser
bitsandbytes-foundation/bitsandbytes
Accessible large language models via k-bit quantization for PyTorch.
graviraja/MLOps-Basics
evidentlyai/evidently
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
meta-llama/llama-models
Utilities intended for use with Llama models.
linkedin/Liger-Kernel
Efficient Triton Kernels for LLM Training
mlabonne/llm-datasets
High-quality datasets, tools, and concepts for LLM fine-tuning.
yunlong10/Awesome-LLMs-for-Video-Understanding
🔥🔥🔥Latest Papers, Codes and Datasets on Vid-LLMs.
horseee/Awesome-Efficient-LLM
A curated list for Efficient Large Language Models
EdinburghNLP/awesome-hallucination-detection
List of papers on hallucination detection in LLMs.
arcee-ai/DistillKit
An Open Source Toolkit For LLM Distillation
aai-institute/beyond-jupyter
Software design principles for machine learning applications
neuml/txtinstruct
📚 Datasets and models for instruction-tuning
dipanjanS/training-fine-tuning-large-language-models-workshop-dhs2024
This repository will contain all the presentations, content, hands-on notebooks for a full day Generative AI workshop on Training, Fine-tuning Large Language Models for the DataHack Summit 2024 conference.
neuralmagic/guidellm
Evaluate and Enhance Your LLM Deployments for Real-World Inference Needs
TorchJD/torchjd
Library for Jacobian descent with PyTorch. It enables optimization of neural networks with multiple losses (e.g. multi-task learning).
voidism/Lookback-Lens
Official implementation for the paper "Detecting and Mitigating Contextual Hallucinations in Large Language Models Using Only Attention Maps"
cleanlab/cleanlab-studio
Client interface for all things Cleanlab Studio
patronus-ai/Lynx-hallucination-detection
Nicolas-BZRD/llm-recipes
Nicolas-BZRD/llm-distillation
datvo06/VRDSynth
Synthesizing programs to link visually-rich document entities. This is the replication code for VRDSynth paper, accepted in ISSTA'24
domaineval/DomainEval
Shoumik-Gandre/Guesslet
AI library to handle Generative MCQ experiments