Sion1225

Sion1225's Stars

• tatsu-lab/stanford_alpaca

  Code and documentation to train Stanford's Alpaca models, and generate the data.

  Language:Python29.7k4.1k

• yagays/pretrained_doc2vec_ja

  Language:Python265

• facebookresearch/fairscale

  PyTorch extensions for high performance and large scale training.

  Language:Python3.2k283

• kodxana/OhMyRunPod

  Collection of usefull scripts for RunPod pods

  Language:Shell9

• bagustris/text-vad

  VAD analysis of text using some affective lexicon (ANEW, SENTIWORDNET, and VADER)

  Language:Python244

• alexa/Topical-Chat

  A dataset containing human-human knowledge-grounded open-domain conversations.

  Language:Python64398

• microsoft/LoRA

  Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"

  Language:Python11k699

• SungjoonPark/EmotionDetection

  Dimensional Emotion Detection from Categorical Emotion Annotation

  Language:Python456

• HIPS/autograd

  Efficiently computes derivatives of NumPy code.

  Language:Python7.1k916

• google/flax

  Flax is a neural network library for JAX that is designed for flexibility.

  Language:Jupyter Notebook6.2k656

• jax-ml/jax

  Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

  Language:Python30.9k2.8k

• keirp/automatic_prompt_engineer

  Language:Python1.2k153

• microsoft/varuna

  Language:Python24429

• huggingface/peft

  🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

  Language:Python16.8k1.7k

• meta-llama/llama-recipes

  Scripts for fine-tuning Meta Llama with composable FSDP & PEFT methods to cover single/multi-node GPUs. Supports default & custom datasets for applications such as summarization and Q&A. Supporting a number of candid inference solutions such as HF TGI, VLLM for local or cloud deployment. Demo apps to showcase Meta Llama for WhatsApp & Messenger.

  Language:Jupyter Notebook15.8k2.3k

• horovod/horovod

  Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

  Language:Python14.3k2.2k

• NVIDIA/apex

  A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

  Language:Python8.5k1.4k

• chrischoy/MakePytorchPlusPlus

  How and why you want to make your pytorch CUDA/CPP extension with a Makefile

  Language:Makefile17316

• bzhangGo/rmsnorm

  Root Mean Square Layer Normalization

  Language:Python21912

• facebookresearch/xformers

  Hackable and optimized Transformers building blocks, supporting a composable construction.

  Language:Python8.8k633

• NVIDIA/Megatron-LM

  Ongoing research training transformer models at scale

  Language:Python11k2.5k

• artidoro/qlora

  QLoRA: Efficient Finetuning of Quantized LLMs

  Language:Jupyter Notebook10.1k827

• mocobeta/janome

  Japanese morphological analysis engine written in pure Python

  Language:Python86252

• meta-llama/llama

  Inference code for Llama models

  Language:Python57k9.6k

• microsoft/LightGBM

  A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

  Language:C++16.8k3.8k

• catboost/catboost

  A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

  Language:Python8.2k1.2k

• optuna/optuna

  A hyperparameter optimization framework

  Language:Python11.2k1.1k

• ShiqinHuo/Numerical-Optimization-Books

  Collected study materials in Numerical Optimization ANU@MATH3514(HPC)

  32392

• cs231n/cs231n.github.io

  Public facing notes page

  Language:Jupyter Notebook10.3k4.1k

• scipy/scipy

  SciPy library main repository

  Language:Python13.2k5.2k