AmazaspShumik

AmazaspShumik's Stars

• TheAlgorithms/Python

  All Algorithms implemented in Python

  Language:Python196k5.9k1.5k46.1k

• ByteByteGoHq/system-design-101

  Explain complex systems using visuals and simple terms. Help you prepare for system design interviews.

  67.3k850507.1k

• twitter/the-algorithm

  Source code for Twitter's Recommendation Algorithm

  Language:Scala62.7k34297912.2k

• chenfei-wu/TaskMatrix

  Language:Python34.5k3013553.3k

• vllm-project/vllm

  A high-throughput and memory-efficient inference and serving engine for LLMs

  Language:Python33.1k2715.8k5k

• pola-rs/polars

  Dataframes powered by a multithreaded, vectorized query engine, written in Rust

  Language:Rust31.2k1699.5k2k

• tatsu-lab/stanford_alpaca

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

  Language:Python29.7k3442694.1k

• openai/evals

  Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.

  Language:Python15.3k2632152.6k

• karpathy/nn-zero-to-hero

  Neural Networks: Zero to Hero

  Language:Jupyter Notebook12.6k297341.7k

• huggingface/trl

  Train transformer language models with reinforcement learning.

  Language:Python10.5k771.3k1.4k

• mistralai/mistral-inference

  Official inference library for Mistral models

  Language:Jupyter Notebook9.8k127147874

• jessevig/bertviz

  BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)

  Language:Python7k74123790

• run-llama/rags

  Build ChatGPT over your data, all with natural language

  Language:Python6.4k5840652

• mosaicml/composer

  Supercharge Your Model Training

  Language:Python5.2k49552429

• krasserm/bayesian-machine-learning

  Notebooks about Bayesian methods for machine learning

  Language:Jupyter Notebook1.8k7718465

• hashicorp-forge/hermes

  A document management system

  Language:TypeScript1.8k1238100

• divamgupta/stable-diffusion-tensorflow

  Stable Diffusion in TensorFlow / Keras

  Language:Python1.6k2549228

• cdpierse/transformers-interpret

  Model explainability that works seamlessly with 🤗 transformers. Explain your transformers model in just 2 lines of code.

  Language:Jupyter Notebook1.3k217898

• piEsposito/blitz-bayesian-deep-learning

  A simple and extensible library to create Bayesian Neural Network layers on PyTorch.

  Language:Python9421573106

• DataCanvasIO/DeepTables

  DeepTables: Deep-learning Toolkit for Tabular data

  Language:Python6762561118

• sebastian-hofstaetter/teaching

  Open-Source Information Retrieval Courses @ TU Wien

  Language:Python595181984

• google-research/fast-soft-sort

  Fast Differentiable Sorting and Ranking

  Language:Python576142148

• davidrosenberg/mlcourse

  Machine learning course materials.

  Language:Jupyter Notebook5703371267

• AmazaspShumik/sklearn-bayes

  Python package for Bayesian Machine Learning with scikit-learn API

  Language:Jupyter Notebook5153342119

• google/rax

  Rax is a Learning-to-Rank library written in JAX.

  Language:Python3225312

• snap-stanford/relbench

  RelBench: Relational Deep Learning Benchmark

  Language:Python232165644

• AmazaspShumik/BayesianML-MCMC

  Bayesian Model Inference using MCMC

  Language:MATLAB19207

• MANGA-UOFA/NAUS

  Official implementation of the ACL 2022 paper "Learning Non-Autoregressive Models from Search for Unsupervised Sentence Summarization"

  Language:Python14123

• probml/sequential-neural-testbed

  Sequential neural testbed

  Language:Jupyter Notebook755

• ShibalIbrahim/FASTEL

  Flexible and Scalable Tree Ensemble Learning

  Language:Python7313