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Tips and tricks for working with Large Language Models like OpenAI's GPT-4.
A framework for few-shot evaluation of language models.
OpenCompass is an LLM evaluation platform, supporting a wide range of models (Llama3, Mistral, InternLM2,GPT-4,LLaMa2, Qwen,GLM, Claude, etc) over 100+ datasets.
Lighteval is your all-in-one toolkit for evaluating LLMs across multiple backends
This Repo Contains Script To Fine Tune Open Source Models Using Unsloth by using UI with simple click and progress
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
A PyTorch native platform for training generative AI models
A trainable PyTorch reproduction of AlphaFold 3.
A comprehensive collection of Machine Learning cheatsheets for quick reference and learning.
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
General technology for enabling AI capabilities w/ LLMs and MLLMs
Benchmarking framework for protein representation learning. Includes a large number of pre-training and downstream task datasets, models and training/task utilities. (ICLR 2024)
GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection
Machine Learning Engineering Open Book
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
Home for cuQuantum Python & NVIDIA cuQuantum SDK C++ samples
🔬 Path to a free self-taught education in Bioinformatics!
🔥Highlighting the top ML papers every week.
Train transformer language models with reinforcement learning.
⏰ AI conference deadline countdowns
LLM powered development for VSCode
Easier Automatic Sentence Simplification Evaluation
CUDASW++4.0: Ultra-fast GPU-based Smith-Waterman Protein Sequence Database Search
CLEAN: a contrastive learning model for high-quality functional prediction of proteins
Implementation of plug in and play Attention from "LongNet: Scaling Transformers to 1,000,000,000 Tokens"
Bilingual Language Model for Protein Sequence and Structure