C++ DataFrame for statistical, financial, and ML analysis in modern C++
-
Updated
Aug 23, 2026 - C++
8000
C++ DataFrame for statistical, financial, and ML analysis in modern C++
Improve your precision in browser-based FPS games with a live crosshair overlay and targeting script.
Built for AI Engineers working with messy, real-world data (images, videos, LiDAR Point Cloud)
⚡️SwanLab - an open-source, modern-design AI training tracking and visualization tool. Supports Cloud / Self-hosted use. Integrated with PyTorch / Transformers / verl / LLaMA Factory / ms-swift / Ultralytics / MMEngine / Keras etc.
Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.
90%+ TensorBoard Log Footprint Reduction via Spatial Downsampling & Grid Aggregation
A dynamic procedural 3D voxel engine built in Unity, featuring an interactive ecosystem with autonomous animals driven by Reinforcement Learning (ML-Agents)
Runtime provenance for AI and scientific workflows—capture, enrich, and query workflow data via observability adapters and code annotation across edge, cloud, and HPC.
QLoRA fine-tuned Qwen2.5 adapter for structured log incident analysis, with AWS GPU training, metrics, reports, and Colab inference.
trailer is a lightning-fast, open-source experiment tracker
High-level PyTorch Training Framework
Convolutional Neural Network implemented in PyTorch for CIFAR-10 image classification using CUDA and TensorBoard.
Turns a directory of ML training runs into a ranked, significance tested comparison. Permutation tests with FDR control, two gate regression flagging, and a calibration suite that measures its own error rate: 4.53% type I against a nominal 5%.
[Beta] 🚀 NEETBOX provides the visualization and tooling needed for machine learning experimentation.
A research repository for how to improve openai-whisper speech to text models for English and Swahili speakers with speech impairments
Reduce multiple PyTorch TensorBoard runs to new event (or CSV) files.
End-to-end reinforcement learning pipeline for algorithmic trading & portfolio management. Train PPO/A2C/SAC agents, backtest with realistic market frictions, and compare against passive benchmarks — fully reproducible with Docker & CI.
A GPU-first system monitor for training machines: every NVIDIA GPU in full, your TensorBoard alongside the telemetry, and nothing it measures leaves the computer. Rust + Tauri.
Train your custom sprite-based character to hit the correct tile using RL
GitHub repositories and users recommendations by embeddings
Add a description, image, and links to the tensorboard topic page so that developers can more easily learn about it.
To associate your repository with the tensorboard topic, visit your repo's landing page and select "manage topics."