A deep learning-based translation library between 50 languages, built with transformers.
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Track real-time GPU and LLM pricing across all cloud and inference providers.
Deep learning optimization library that makes distributed training easy, efficient, and effective.
Cheaper V4 model, supports thinking and non-thinking modes.
A fast Clojure Tensor & Deep Learning library.
Data Skeptic is a podcast hosted by Kyle Polich, featuring interviews with experts on data science, machine learning, AI, and statistics.
Data Science at Home is a podcast about machine learning, artificial intelligence, and algorithms.
Darknet is an open source neural network framework written in C and CUDA. It is fast, easy to install, and supports CPU and GPU computation.
Creates, rewrites or summarizes written content with language models.
Curate and annotate vision, audio, and LLM datasets, track experiments, and manage models on a single platform.
This is a fast C++/CUDA implementation of convolutional [DEEP LEARNING].
Credyt is real-time monetization infrastructure for AI. Observe your spend, control your exposure, and bill your customers across every pricing model.
Cortexa provides machine-learning models, research, training resources, or evaluation tools.
Creates, rewrites or summarizes written content with language models.
Convolutional-Recursive Deep Learning for 3D Object Classification[DEEP LEARNING].
Connect your agent to SaaS apps in minutes. Secure access to 20,000+ tools via MCP or direct APIs to automate real work.
Track your datasets, code changes, experimentation history, and models.
Creates, rewrites or summarizes written content with language models.
A Modern, Fast, and Modular Deep Learning and Machine Learning framework for Python.
Open Code LLMs for Code Understanding and Generation.
A curated list of language modeling researches for code and related datasets.
Codeflash uses AI to automatically find the most optimized version of your Python code through benchmarking — while verifying it's correct.
Project that automatically maps relationship networks by parsing public data using LLMs and visualizes it as an interactive graph.
A PyTorch based deep learning library for drug pair scoring.