Trading environnement for RL agents, backtesting and training.
- trading
- backtesting
- reinforcement-learning-agent
- reinforcement-learning
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Trading environnement for RL agents, backtesting and training.
PocketStrike is a privacy-first mobile AI workstation. It combines zero-cloud native on-device GGUF inference (ARM NEON accelerated) │ with frontier cloud LLMs, multi-step ReAct agent tools, Model Context Protocol (MCP) servers, self-evolving cross-session memory, and FLUX neural image │ generation.
Building a population of models that trade crypto and mutate iteratively
🏃 The go-to single-cell Foundation Model
A tool for quantitative risk analysis of Android applications based on machine learning techniques
Scientific computing in pure Crystal
Hand-gesture recognition on iOS app using CoreML
Code for "Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution", NeurIPS 2022.
⬛ Python Individual Conditional Expectation Plot Toolbox
DH3D: Deep Hierarchical 3D Descriptors for Robust Large-Scale 6DOF Relocalization
A tool for automatic phoneme transcription
TransformerCPI: Improving compound–protein interaction prediction by sequence-based deep learning with self-attention mechanism and label reversal experiments(BIOINFORMATICS 2020) https://doi.org/10.1093/bioinformatics/btaa524
Build systems with Go examples
Optimising chemical reactions using machine learning
Safe Bayesian Optimization
PyTorch Geometric Signed Directed is a signed/directed graph neural network extension library for PyTorch Geometric. The paper is accepted by LoG 2023.
Safe Exam Browser for macOS and iOS
⚡ Open-source software for deep learning-based digital pathology
DiscoveryRSI: Recursively Learning to Discover Valuable Hypotheses
Go(lang) benchmarks - (measure the speed of golang)
Learn the DSA and be Interview ready
A collection of tasks to probe the effectiveness of protein sequence representations in modeling aspects of protein design
A machine learning library for Clojure built on top of Weka and friends
Legend of Elya — N64 game with a real 6.36M-parameter ternary transformer on the VR4300 MIPS III CPU. Zelda-style dungeon, AI NPCs, byte-level inference at 1.23 tok/s scalar / 2.19 tok/s on the RSP overlay (measured under ares, never on silicon). Built with libdragon.