machine-learning

Những kiến thức cần thiết để học tốt Machine Learning trong vòng 2 tháng. Essential Knowledge for learning Machine Learning in two months.

nannyml: post-deployment data science in python

Collection of advice for prospective and current PhD students

Repository containing notebooks of my posts on Medium

Sharing both practical insights and theoretical knowledge about LLM evaluation that we gathered while managing the Open LLM Leaderboard and designing lighteval!

C++ Implementation of PyTorch Tutorials for Everyone

Machine Learning Course, Sharif University of Technology

Machine learning on FPGAs using HLS

A Node.js CLI that uses Ollama and LM Studio models (Llava, Gemma, Llama etc.) to intelligently rename files by their contents

Diffusion Models in Medical Imaging (Published in Medical Image Analysis Journal)

SpikingJelly is an open-source deep learning framework for Spiking Neural Network (SNN) based on PyTorch.

Convolutional Recurrent Neural Network (CRNN) for image-based sequence recognition.

.NET for Apache® Spark™ makes Apache Spark™ easily accessible to .NET developers.

DIAMOND (DIffusion As a Model Of eNvironment Dreams) is a reinforcement learning agent trained in a diffusion world model. NeurIPS 2024 Spotlight.

Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond

Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/

Keras model of NSFW detector

Lightweight inference library for ONNX files, written in C++. It can run Stable Diffusion XL 1.0 on a RPI Zero 2 (or in 298MB of RAM) but also Mistral 7B on desktops and servers. ARM, x86, WASM, RISC-V supported. Accelerated by XNNPACK. Python, C# and JS(WASM) bindings available.

An on-premises, OCR-free unstructured data extraction, markdown conversion and benchmarking toolkit. (https://idp-leaderboard.org/)

A proof-of-concept jupyter extension which converts english queries into relevant python code