Lucas Hänke de Cansino (l4b4r4b4b4)

l4b4r4b4b4

Geek Repo

Company:Holocene Intelligence

Location:Berlin, Germany

Home Page:https://next-boss.eu

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Lucas Hänke de Cansino's repositories

AIDocks

LLM-Training-API: Including Embeddings & ReRankers, mergekit, LaserRMT

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vllm

A high-throughput and memory-efficient inference and serving engine for LLMs

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metavoice-src

AI for human-level speech intelligence

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Agentless

Agentless🐱: an agentless approach to automatically solve software development problems

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AutoArch

Automated Arch Linux Install

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chroma

the AI-native open-source embedding database

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dora

Implementation of DoRA

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dspy

DSPy: The framework for programming—not prompting—foundation models

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entity-recognition-datasets

A collection of corpora for named entity recognition (NER) and entity recognition tasks. These annotated datasets cover a variety of languages, domains and entity types.

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functionary

Chat language model that can use tools and interpret the results

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generative-models

Generative Models by Stability AI

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go-chroma

Go port of Chroma vector storage

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godot4-ai-npc-example

A Godot 4 Artificial Intelligence (AI) NPC example project.

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laserRMT

This is our own implementation of 'Layer Selective Rank Reduction'

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LocalAI

:robot: The free, Open Source OpenAI alternative. Self-hosted, community-driven and local-first. Drop-in replacement for OpenAI running on consumer-grade hardware. No GPU required. Runs ggml, gguf, GPTQ, onnx, TF compatible models: llama, llama2, rwkv, whisper, vicuna, koala, cerebras, falcon, dolly, starcoder, and many others

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multinerd

Repository for the paper "MultiNERD: A Multilingual, Multi-Genre and Fine-Grained Dataset for Named Entity Recognition (and Disambiguation)" (NAACL 2022).

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next-auth

Authentication for the Web.

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outlines

Structured Text Generation

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Real-Time-Latent-Consistency-Model

Demo showcasing ~real-time Latent Consistency Model pipeline with Diffusers and a MJPEG stream server

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SparsePrimingRepresentations

Public repo to document some SPR stuff

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tennis_analysis

This project analyzes Tennis players in a video to measure their speed, ball shot speed and number of shots. This project will detect players and the tennis ball using YOLO and also utilizes CNNs to extract court keypoints. This hands on project is perfect for polishing your machine learning, and computer vision skills.

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transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

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trl

Train transformer language models with reinforcement learning.

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unsloth

Finetune Llama 3.1, Mistral, Phi & Gemma LLMs 2-5x faster with 80% less memory

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