Example of how the neural network learns to predict the angle between two points created with Synaptic.
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A Collection of Awesome Generative AI Applications.
Fast-stable-diffusion, +25-50% speed increase + memory efficient + DreamBooth.
Agent techniques to augment your LLM and push it beyond its limits.
Create. Use. Share. ChatGPT prompts.
Uniform deep learning inference framework for mobile, desktop and server.
Automated ML tool that optimizes machine learning pipelines using genetic programming.
A web app to generate template code for machine learning.
Text Retrieval and Annotation Toolkit, definitely the most comprehensive toolkit I’ve encountered so far for Ruby.
Python library for automatic extraction of relevant features from time series.
A Java implementation of Twitter's text processing library.
Any URL to clean markdown for LLMs. Free API, no signup required. Strips JS/CSS and outputs LLM-ready content.
Minimize LLM token complexity to save API costs and model computations.
"leaderboard Comparing LLM Performance at Producing Hallucinations when Summarizing Short Documents".
AutoML algorithm tool chain by Huawei Noah's Arb Lab.
Enterprise-Grade Graph RAG for Secure, On-Premise AI with Verifiable Attribution.
Some of the python libraries were cut-and-pasted from.
Open source framework for debugging LLM agents and RAG pipelines with a 16-mode ProblemMap and practical triage checklists.
An implementation of Dell Zhang's solution to Wikipedia's Participation Challenge on Kaggle.
Tokenizers for Natural Language Processing in Julia.
Word Embeddings: the full implementation of word2vec, GloVe in Go.
A Julia package for Princeton's WordNet.
An Autonomous LLM Agent for Complex Task Solving.
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library.