🎯 A comprehensive gradient-free optimization framework written in Python
- metaheuristics
- optimization
- optimization-algorithms
- python
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🎯 A comprehensive gradient-free optimization framework written in Python
Language model search engine built on a vector database and an anything key/value store.
We well know GANs for success in the realistic image generation. However, they can be applied in tabular data generation. We will review and examine some recent papers about tabular GANs in action.
Slides, scripts and materials for the Machine Learning in Finance Course at NYU Tandon, 2022
Cleora AI is a general-purpose open-source model for efficient, scalable learning of stable and inductive entity embeddings for heterogeneous relational data. Created by Synerise.com team.
Vision-Language Pathology Foundation Model - Nature Medicine
A Euclidean diffusion model for structure-based drug design.
Modular autonomous driving platform running on the CARLA simulator and real-world vehicles.
TensorLayerX: A Unified Deep Learning and Reinforcement Learning Framework for All Hardwares, Backends and OS.
Python package for Bayesian Machine Learning with scikit-learn API
A tool for semi-automatic cell type classification
Ruby library for interfacing with FANN (Fast Artificial Neural Network)
AI Vim/Neovim code generation plugin (OpenAI, ChatGPT, and more)
A ground-up and standalone reimplementation of TensorFlow for ruby. Comes with a pure ruby and OpenCL opcode evaluator
RNNLG is an open source benchmark toolkit for Natural Language Generation (NLG) in spoken dialogue system application domains. It is released by Tsung-Hsien (Shawn) Wen from Cambridge Dialogue Systems Group under Apache License 2.0.
A blazing fast matrix library for Elixir/Erlang with C implementation using CBLAS.
Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.
Selected Machine Learning algorithms for natural language processing and semantic analysis in Golang
the best machine learning tutorials on the web
Sources codes for: Mastering Python for Finance, Second Edition
Tools for computational pathology
A lightweight C++ machine learning library for embedded electronics and robotics.
CAI NEURAL API - Pascal based deep learning neural network API optimized for AVX, AVX2 and AVX512 instruction sets plus OpenCL capable devices including AMD, Intel and NVIDIA.
Interactive, source-linked ML workflow diagrams written by your coding assistant (Copilot, Codex or Claude Code) and opened in VS Code.