Download media files from a telegram conversation/chat/channel up to 2GiB per file
- telegram
- telegram-apps
- python3
- telegram-api
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Download media files from a telegram conversation/chat/channel up to 2GiB per file
CodeGeeX4-ALL-9B, a versatile model for all AI software development scenarios, including code completion, code interpreter, web search, function calling, repository-level Q&A and much more.
Rasterio reads and writes geospatial raster datasets
Self-Supervised Speech Pre-training and Representation Learning Toolkit
τ-Bench: A Benchmark for Tool-Agent-User Interaction in Real-World Domains
GLM-4.6V/4.5V/4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning
The repo for "Metric3D: Towards Zero-shot Metric 3D Prediction from A Single Image" and "Metric3Dv2: A Versatile Monocular Geometric Foundation Model..."
🔮 Instill Core is a full-stack AI infrastructure tool for data, model and pipeline orchestration, designed to streamline every aspect of building versatile AI-first applications
The BGP swiss army knife of networking
An open source library and framework for deep learning on satellite and aerial imagery.
PyPSA: Python for Power System Analysis
A powerful coding assistant application that integrates with the DeepSeek API to process user conversations and generate structured JSON responses. Through an intuitive command-line interface, it can read local file contents, create new files, and apply diff edits to existing files in real time.
Labeling tool with SAM(segment anything model),supports SAM, SAM2, SAM3, sam-hq, MobileSAM EdgeSAM etc.交互式半自动图像标注工具
A 1:1 scale streamed Earth for BeamNG.drive: real elevation and satellite imagery, floating origin, LOD streaming from a companion server
A lean, self-hosted AI agent that everyone can use. Each person gets an assistant with its own private computer, their files, skills, app connections and scheduled jobs.
Code for generating synthetic text images as described in "Synthetic Data for Text Localisation in Natural Images", Ankush Gupta, Andrea Vedaldi, Andrew Zisserman, CVPR 2016.
NVIDIA Alpamayo 1 Nano is an open 10B reasoning VLA model for autonomous vehicles that pairs driving trajectories with Chain-of-Causation reasoning.
Semantic segmentation on aerial and satellite imagery. Extracts features such as: buildings, parking lots, roads, water, clouds
Versatile audio super resolution (any -> 48kHz) with AudioSR.
Worldwide building footprints derived from satellite imagery
A Large-scale Chinese Short-Text Conversation Dataset and Chinese pre-training dialog models
ClipCascade is a lightweight utility that automatically syncs the clipboard across devices, no key press required.
Downloads songs from your Spotify Playlist
Learn autonomous driving by building it: Python simulations and an open textbook where the system grows one stage at a time. Swap and compare localization, planning and control algorithms in the same system.