Amit Lamba PRO
on1onmangoes
AI & ML interests
Audio, speech and voice based AI
Organizations
Dr.Mario
GoodPapers
-
RecurrentGemma: Moving Past Transformers for Efficient Open Language Models
Paper β’ 2404.07839 β’ Published β’ 48 -
Direct Nash Optimization: Teaching Language Models to Self-Improve with General Preferences
Paper β’ 2404.03715 β’ Published β’ 62 -
MoMA: Multimodal LLM Adapter for Fast Personalized Image Generation
Paper β’ 2404.05674 β’ Published β’ 15 -
Agentless: Demystifying LLM-based Software Engineering Agents
Paper β’ 2407.01489 β’ Published β’ 65
mangoes
All the Greatest Hits for mangoes
MuscariMedia
- Running on ZeroAgentsFeatured519
FLUX LoRa Lab
π§ͺ519Generate custom images using mixed FLUX LoRA adapters
-
arcee-ai/Arcee-Scribe
Feature Extraction β’ 8B β’ Updated β’ 59 β’ 16 - Running on ZeroAgents163
MelodyFlow
π΅163Generate music from text and optional melody
-
rwitz/cat1.0
Text Generation β’ 8B β’ Updated β’ 5 β’ β’ 9
HackathonStars
- RunningMCP10
Huggingface Space Commander
π10Chat with, Modify, Create Huggingface Spaces
- Runtime errorMCP38
Router MCP
π38Your Gateway to Optimal MCP Servers in Seconds
- SleepingAgents
Trackio 32004
πVisualize metric data from multiple runs
- Runtime errorMCP47
Autotrain Mcp
π47Train ML models via MCP
mangoes
All the Greatest Hits for mangoes
Dr.Mario
MuscariMedia
- Running on ZeroAgentsFeatured519
FLUX LoRa Lab
π§ͺ519Generate custom images using mixed FLUX LoRA adapters
-
arcee-ai/Arcee-Scribe
Feature Extraction β’ 8B β’ Updated β’ 59 β’ 16 - Running on ZeroAgents163
MelodyFlow
π΅163Generate music from text and optional melody
-
rwitz/cat1.0
Text Generation β’ 8B β’ Updated β’ 5 β’ β’ 9
GoodPapers
-
RecurrentGemma: Moving Past Transformers for Efficient Open Language Models
Paper β’ 2404.07839 β’ Published β’ 48 -
Direct Nash Optimization: Teaching Language Models to Self-Improve with General Preferences
Paper β’ 2404.03715 β’ Published β’ 62 -
MoMA: Multimodal LLM Adapter for Fast Personalized Image Generation
Paper β’ 2404.05674 β’ Published β’ 15 -
Agentless: Demystifying LLM-based Software Engineering Agents
Paper β’ 2407.01489 β’ Published β’ 65