amirnd51's Stars
mon5termatt/medicat_installer
Medicat Installer Repo
alwqx/awesome-mlsys
A curated list of research in machine learning system. I also summarize some papers if I think they are really interesting.
karpathy/LLM101n
LLM101n: Let's build a Storyteller
dmort27/panphon
Python package and data files for manipulating phonological segments (phones, phonemes) in terms of universal phonological features.
stanfordnlp/dspy
DSPy: The framework for programming—not prompting—language models
AnswerDotAI/gpu.cpp
A lightweight library for portable low-level GPU computation using WebGPU.
linuxserver/reverse-proxy-confs
These confs are pulled into our SWAG image: https://github.com/linuxserver/docker-swag
gevtushenko/llm.c
LLM training in simple, raw C/CUDA
rai-project/rai
The RAI client allows one to interact with a cluster of machine to submit and evaluate code. RAI is a scalable job submission system designed for diverse workloads. RAI’s design addresses challenges of scalability, configurability, security, and cost in delivering a flexible programming environments.
ArtsEngine/concreteness
concreteness ratings list
merrymercy/awesome-tensor-compilers
A list of awesome compiler projects and papers for tensor computation and deep learning.
young-geng/EasyLM
Large language models (LLMs) made easy, EasyLM is a one stop solution for pre-training, finetuning, evaluating and serving LLMs in JAX/Flax.
huggingface/optimum-habana
Easy and lightning fast training of 🤗 Transformers on Habana Gaudi processor (HPU)
intel/intel-extension-for-transformers
⚡ Build your chatbot within minutes on your favorite device; offer SOTA compression techniques for LLMs; run LLMs efficiently on Intel Platforms⚡
S-LoRA/S-LoRA
S-LoRA: Serving Thousands of Concurrent LoRA Adapters
mlc-ai/mlc-llm
Universal LLM Deployment Engine with ML Compilation
turboderp/exllamav2
A fast inference library for running LLMs locally on modern consumer-class GPUs
vllm-project/vllm
A high-throughput and memory-efficient inference and serving engine for LLMs
COD1995/A-Comprehensive-Note-on-Machine-Learning
These notes are for personal and educational use only. Any redistribution or sharing without my explicit consent is prohibited. They serve as a private learning and reference resource.
antgroup/glake
GLake: optimizing GPU memory management and IO transmission.
DataResponsibly/fairDAGs
This is the repository of code for fairDAGs.
dssg/aequitas
Bias Auditing & Fair ML Toolkit
Trusted-AI/AIF360
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
alibaba/MNN
MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba
bytedance/byteir
A model compilation solution for various hardware
IllinoisGraphBenchmark/IGB-Datasets
Largest realworld open-source graph dataset - Worked done under IBM-Illinois Discovery Accelerator Institute and Amazon Research Awards and in collaboration with NVIDIA Research.
ml-lab/nanoGPT
The simplest, fastest repository for training/finetuning medium-sized GPTs.
psosera/pli-notes
Programming Language Implementation in Haskell - Study Notes
ezelikman/parsel
Code for Parsel 🐍 - generate complex programs with language models
aws-neuron/aws-neuron-sdk
Powering AWS purpose-built machine learning chips. Blazing fast and cost effective, natively integrated into PyTorch and TensorFlow and integrated with your favorite AWS services