50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.
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End-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment.
Qwen3-VL is the multimodal large language model series developed by Qwen team, Alibaba Cloud.
FinRL®: Financial Reinforcement Learning. 🔥
- deep-reinforcement-learning
- drl-trading-agents
- stock-trading
- drl-algorithms
llama3 implementation one matrix multiplication at a time
A multi-voice TTS system trained with an emphasis on quality
:robot: :speech_balloon: Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts)
FarmVibes.AI: Multi-Modal GeoSpatial ML Models for Agriculture and Sustainability
- agriculture
- ai
- geospatial
- geospatial-analytics
Reference mapping for single-cell genomics
- single-cell
- deep-learning
- rna-seq-analysis
- data-integration
Fusing Histology and Genomics via Deep Learning - IEEE TMI
- pathomic
- fusion
- multimodal
- pathology
Pan-Cancer Integrative Histology-Genomic Analysis via Multimodal Deep Learning - Cancer Cell
- histology
- wsi-images
- pan-cancer-analysis
- genomics
Integrated pipeline for multiplexed image analysis
- multiplexed-imaging
- python
Machine learning for Analysis of Proteomics in Spatial biology - Nature Communications
- cell-annotation
- multiplexed-imaging
- mpif
Repository for paper scMulan: a multitask generative pre-trained language model for single-cell analysis.
- foundation-models
- gpt
- single-cell
Deep learning model for single-cell inference of multi-omic profiles from a single input modality.
- single-cell
- scrna-seq
- scatac-seq
- deep-neural-networks
A multi-language tokenizer for extracting identifiers from source code.
Investigating multilingual language models (BERT) by using them for NER in German and English
GTFS Data Pipeline for TfNSW Bus Datasets
- gtfs
- gtfs-static
- gtfs-realtime
- tfnsw