The ’ta’ Python library offers 43 technical indicators for financial feature engineering with a dual API: rapid prototyping via a single function and fine-grained control via individual indicator classes.
Hyperspace AGI is a distributed system where thousands of AI agents collaborate over a peer-to-peer network using compressed gradient sharing and a blockchain-based micropayment system. This article breaks down its architecture, technical strengths, and exploration tips.
MarS uses a LLaMA-based generative model to simulate order-level financial market data. It treats market orders as tokens, learning their joint distribution from historical data, enabling scalable, realistic market trajectories.
OpenThinkIMG enables modular orchestration of independent vision tools for enhanced inference workflows using PyTorch and service-based architecture. Clear quickstart included.
rPPG-Toolbox is a Python platform for benchmarking camera-based physiological sensing algorithms, unifying classical unsupervised and modern neural methods across multiple datasets with config-driven experimentation.
ai-interview-codex offers a practical AI interview prep guide featuring iterative system design for Agentic AI and RAG, with benchmarks and production insights for ML, LLM, and system design roles.
AI-ML-Cheatsheets offers a modular, offline-ready collection of concise AI/ML reference sheets from foundational math to transformers and large language models.
Autodistill automates the pipeline from large foundation models to edge-ready vision models using pluggable plugins and a natural language ontology for zero-shot labeling.
Bytez offers a unified API for over 220,000 AI models with serverless GPU orchestration, abstracting model diversity into a single inference platform accessible via one key.
DeepSpeed is a Python library that optimizes large-scale deep learning training with multi-hardware support and JIT CUDA extensions. Explore its architecture, strengths, and quick installation.
Fast3R from Meta FAIR processes 1000+ unordered images simultaneously for 3D reconstruction using a ViT-Large backbone and multi-view attention, eliminating iterative matching.
gnnpapers is a curated, community-recognized bibliography of 800+ must-read graph neural network papers. It organizes GNN research evolution and applications without any code.
Mini-SGLang is a modular Python reimplementation of the SGLang LLM inference engine with production features like Radix Cache, chunked prefill, overlap scheduling, and tensor parallelism.
Kimi-Audio combines continuous acoustic and discrete semantic tokens within a 7B LLM for unified audio-text understanding and generation. It achieves state-of-the-art ASR with low-latency audio synthesis.
Lynx generates personalized videos from a single image using a frozen Diffusion Transformer with ID and Ref adapters. This modular design balances fidelity and efficiency.
Mathematics-for-ML is a curated repository aggregating key resources on the mathematical foundations of machine learning. It collects books, papers, and lectures to build strong math intuition for ML practitioners.
ML-From-Scratch offers bare-bones Python implementations of key machine learning algorithms using only NumPy, focusing on transparency over efficiency. Explore how it demystifies ML fundamentals.
MLJobSearch2025 offers a curated tier list of AI employers by compensation and a rich set of ML interview questions, helping candidates targeting $300K+ roles prepare effectively.
A practical guide to bishwaghimire’s AI learning roadmaps repository, offering modular, career-focused paths for AI and ML self-learners, with setup essentials and a flexible curriculum.
